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Zhichao Li

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.RO2
  • cs.CV1
  • math.NA1
ORCID 0000-0002-6966-0432
same name
  • Zhichao Li — 26 papers, h 3
  • Zhichao Li — 4 papers
  • Zhichao Li — 3 papers
  • Zhichao Li — 3 papers
  • Zhichao Li — 2 papers, h 3
  • Zhichao Li — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212024
most citedLightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

math.NA2024

Computational Graph Representation of Equations System Constructors in Hierarchical Circuit Simulation

Zichao Long, Lin Li, Lei Han +10

Equations system constructors of hierarchical circuits play a central role in device modeling, nonlinear equations solving, and circuit design automation. However, existing constru…

cs.CV2024★ 1 cited

Lightning NeRF: Efficient Hybrid Scene Representation for Autonomous Driving

Junyi Cao, Zhichao Li, Naiyan Wang +1

Recent studies have highlighted the promising application of NeRF in autonomous driving contexts. However, the complexity of outdoor environments, combined with the restricted view…

cs.RO2022

Robust and Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics

Zhichao Li, Thai Duong, Nikolay Atanasov

Stability and safety are critical properties for successful deployment of automatic control systems. As a motivating example, consider autonomous mobile robot navigation in a compl…

cs.RO2021

Safe Autonomous Navigation for Systems with Learned SE(3) Hamiltonian Dynamics

Zhichao Li, Thai Duong, Nikolay Atanasov

Safe autonomous navigation in unknown environments is an important problem for mobile robots. This paper proposes techniques to learn the dynamics model of a mobile robot from traj…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.